Decision Support System for Production Planning in the Ship Repair Industry
Main Article Content
Abstract
All ships and offshore platforms, however large or small, undergo scheduled or unscheduled repair and maintenance. The bidding process for ship repair jobs is highly competitive and global in scope. The ship repair industry is also prone to significant risks due to high level of capital investment in skilled labor, specialized equipment, and facilities such as dry docks. Several decision support tools have been utilized by the ship repair and maintenance industry with limited success. The focus of these tools is on mid or long-term planning. They view the system as various cost centers and attempt to minimize cost at each center.
This paper proposes a decision support system for short term planning. It is oriented towards day to day decision making by ship yard personnel. Its focus is on enhancing system throughput and minimizing total cost. It utilizes a common corporate database to store and retrieve information and to generate timely reports for the management. By focusing on system throughput and overall cost, unnecessary internal completion between cost centers can be avoided, resulting in fewer delays and resource overloading.
Article Sidebar
Published
July 8, 2014
Article Details
Section
Articles
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
The copyediting stage is intended to improve the flow, clarity, grammar, wording, and formatting of the article. It represents the last chance for the author to make any substantial changes to the text because the next stage is restricted to typos and formatting corrections. The file to be copyedited is in Word or .rtf format and therefore can easily be edited as a word processing document. The set of instructions displayed here proposes two approaches to copyediting. One is based on Microsoft Word's Track Changes feature and requires that the copy editor, editor, and author have access to this program. A second system, which is software independent, has been borrowed, with permission, from the Harvard Educational Review. The journal editor is in a position to modify these instructions, so suggestions can be made to improve the process for this journal.
References
Ahluwalia, R. S., Grover, S. (2006). Guidelines for Safe Dismantling of Obsolete Vessels in South Asia. Invited paper at the International Conference on Dismantling of Obsolete Vessels, Glasgow, UK
Ahluwalia, R. S., Govindarajulu, S. (2005). A Software Tool for Disposal of Obsolete Vessels. Journal of Ship Production, Vol. 21, Num.1, pp 1-7
Ahluwalia, R. S., Sibal, P., Govindarajulu, S (2003). Database for dismantling of obsolete vessels. Intelligent Systems in Design and Manufacturing V, SPIE’s International Photonics East Symposium, Providence, RI, October.
Artigues, C., Roel Leus, Fabrice Talla Nobibon (2013). Robust optimization for resource-constrained project scheduling with uncertain activity durations. Flexible Services and Manufacturing Journal June 2013, Vol. 25, Issue 1-2, pp 175-205
Ballard, G. (2000), The Last Planner™ System of Production Control. Unpublished PhD Thesis, School of Civil Engineering, The University of Birmingham.
Chabane, H. (2004), xa.yimg.com/kq/groups/24634788/1393872093/name/Art111.pdf
Charris, E., Carlos D. Paternina–Arboleda (2013). Simulation model of the supply chain on a naval shipyard. International Journal of Industrial and Systems Engineering. Vol. 13, Issue 3, 280-290, 2013-01-01, 10.1504/IJISE.2013.052277
Choo, H. (2003). Distributed Planning and Coordination to Support Lean Construction. Unpublished PhD Thesis, School of Civil Engineering, The University of California, Berkeley.
Chryssolouris, G. (2005). Manufacturing Systems: Theory and Practice, 2nd Edition New York, Springer-Verlag, 2005.
Chryssolouris (1), G., K. Dicke, M. Lee (1992). On the resources allocation problem. International Journal of Production Research 30 (12) (1992) 2773–2795.
Chryssolouris (2), G., J. Pierce, K. Dicke (1992). A decision-making approach to the operation of flexible manufacturing systems. , International Journal of Flexible Manufacturing Systems. 4 (3–4) (1992) 309–330.
Chryssolouris, G., M. Lee, K. Dicke, (1991). An approach to short interval scheduling for discrete parts manufacturing. International Journal of Computer Integrated Manufacturing. 4 (3) (1991) 157–168.
Chryssolouris, G., J. Pierce, K. Dicke (1991). An approach for allocating manufacturing resources to production tasks. Journal of Manufacturing Systems. 10 (5) (1991)368–382.
Chryssolouris, G. (1999). A Planning and Control Method for Shipyard Processes: A Ship-repair Yard Case Study. 10th International Conference on Computer Applications in Shipbuilding. ICCAS 99.
Chryssolouris, G., Makris, S., Xanthakis, V., &Mourtzis, D. (2004). Towards the Internet-based supply chain management for the ship repair industry. Journal of Computer Integrated Manufacturing. International 17(1), 45-57.
Costa, R., Eduardo G.M. Jardim (1998). Total punctuality approach for the jobbing industry. International Journal of Operations & Production Management. Vol. 18 Iss: 3, pp.260 – 270
Costa, R., Hill, J., Jardim, E. (1992). Strategic management and shop-floor control in jobbing industry. The British Production and Inventory Control Society. Vol. 18, N.2, pp.35-38, UK
De Boer, R. (1998). Resource-Constrained Multi-Project Management - A Hierarchical Decision Support System. Ph. D. thesis, University Of Twente, The Netherlands
De Boer, R., J.M.J. Schutten, W.H.M. Zijm (1997). A Decision Support System for Ship Maintenance Capacity Planning. CIRP Annals - Manufacturing Technology. Vol. 46, Issue 1, pp. 391-396, ISSN 0007-8506
Dlugokecki, V., Fanguy, D., Hepinstall, L., Tilstorm, D. (2010). Transforming the Ship Building and Ship Repair Project Environment. Journal of Ship Production and Design. vol. 26, num. 4, pp 265-272
Feng, W. (1), Li Zheng, Jingshan Li (2012). The robustness of scheduling policies in multi-product manufacturing systems with sequence-dependent setup times and finite buffers. Robotics and Automation (ICRA), 2012 IEEE International Conference on, pp.5074-5079
Feng, W.(2), Li Zheng, Jingshan Li (2012). Scheduling policies in multi-product manufacturing systems with sequence-dependent setup times and finite buffers. International Journal of Production Research. 50:24, 7479-7492
Framinan, J., and R. Ruiz. (2010). Architecture of Manufacturing Scheduling Systems: Literature Review and an Integrated Proposal. European Journal of Operational Research. 205: 237–246
Framinan, J., and R. Ruiz (2012). Guidelines for the Deployment and Implementation of Manufacturing Scheduling Systems. International Journal of Production Research. 50 (7): 1799–1812
Leus, R, Artigues, C.; Nobibon, F.T. (2011). Robust optimization for resource-constrained project scheduling with uncertain activity durations. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). vol., no., pp.101,105, Dec. 6-9, 2011
MARAD,(2013), http://www.marad.dot.gov/documents/MARAD_Econ_Study_Final_Report_ 2013.pdf
Mello, M., J. O. Strandhagen (2011). Supply chain management in the shipbuilding industry: challenges and perspectives. Journal of Engineering for the Maritime Environment. 225:261-270, June 24, 2011
Moghaddam, K., John S. Usher (2011). Preventive maintenance and replacement scheduling for repairable and maintainable systems using dynamic programming. Computers & Industrial Engineering. Volume 60, Issue 4, May 2011, Pages 654-665, ISSN 0360-8352
Mourtzis, D. (2005). An integrated system for managing ship repair operations. International Journal of Computer Integrated Manufacturing. 18:8, 721-733
Papakostas, N., Papachatzakis, P., Xanthakis, V., Mourtzis, D., Chryssolouris, G. (2010). Decision Support Systems. “An approach to operational aircraft maintenance planning. International Journal of Computer Integrated Manufacturing Volume 48, Issue 4, March 2010, Pages 604-612, ISSN 0167-9236
Pinedo, M.L. (2012). Scheduling: Theory, Algorithms, and Systems. 4th ed. Springer; 2012-01-01
Pinha, D., Ahluwalia, R. S. (2013). Decision Support System for the Ship Repair Industry. SISE’s 2nd Annual World Conference, Las Vegas, NV, USA, November 2013
Pinha, D., De Queiroz, M.H., Cury, J. E R. (2011). Optimal scheduling of a repair shipyard based on Supervisory Control Theory. Proceedings of the IEEE Conference on Automation Science and Engineering (CASE) 2011, pp.39-44, August 24-27, 2011
Thorpe, A., Bartlett, P. (2013). Buoyant floating energy sector promises rich pickings. Special Offshore Supplement to Ship and offshore journal (SORJ). Volume 11 Issue 2, pp. 4. 2013
Van Dijk, R. (2002). http://alexandria.tue.nl/repository/books/587366.pdf
Wullink, G. (2005). Resource Loading Under Uncertainty”, Beta Research School for Operations Management and Logistics. PhD Thesis. The University of Twente, The Netherlands
Wullink, G., Hans, E., Gademann, A., van Harten, A. (2004). Scenario based approach for Flexible Resource Loading under Uncertainty. International Journal of Production Research. 42 (24), 5079-5098
Yamashita, D., Amaral Armentano Vinícius, and Manuel Laguna (2007). Robust Optimization Models for Project Scheduling with Resource Availability Cost. Journal of Scheduling. 10.1 2007
Zhou, S., Ying Feng Zheng, Zhang Jiang, Meng Qiang Duan (2013). Research of Scheduling Management in Warship Scheduled Repair Project. Applied Mechanics and Materials. 409-410, 1564. 2013
Ahluwalia, R. S., Govindarajulu, S. (2005). A Software Tool for Disposal of Obsolete Vessels. Journal of Ship Production, Vol. 21, Num.1, pp 1-7
Ahluwalia, R. S., Sibal, P., Govindarajulu, S (2003). Database for dismantling of obsolete vessels. Intelligent Systems in Design and Manufacturing V, SPIE’s International Photonics East Symposium, Providence, RI, October.
Artigues, C., Roel Leus, Fabrice Talla Nobibon (2013). Robust optimization for resource-constrained project scheduling with uncertain activity durations. Flexible Services and Manufacturing Journal June 2013, Vol. 25, Issue 1-2, pp 175-205
Ballard, G. (2000), The Last Planner™ System of Production Control. Unpublished PhD Thesis, School of Civil Engineering, The University of Birmingham.
Chabane, H. (2004), xa.yimg.com/kq/groups/24634788/1393872093/name/Art111.pdf
Charris, E., Carlos D. Paternina–Arboleda (2013). Simulation model of the supply chain on a naval shipyard. International Journal of Industrial and Systems Engineering. Vol. 13, Issue 3, 280-290, 2013-01-01, 10.1504/IJISE.2013.052277
Choo, H. (2003). Distributed Planning and Coordination to Support Lean Construction. Unpublished PhD Thesis, School of Civil Engineering, The University of California, Berkeley.
Chryssolouris, G. (2005). Manufacturing Systems: Theory and Practice, 2nd Edition New York, Springer-Verlag, 2005.
Chryssolouris (1), G., K. Dicke, M. Lee (1992). On the resources allocation problem. International Journal of Production Research 30 (12) (1992) 2773–2795.
Chryssolouris (2), G., J. Pierce, K. Dicke (1992). A decision-making approach to the operation of flexible manufacturing systems. , International Journal of Flexible Manufacturing Systems. 4 (3–4) (1992) 309–330.
Chryssolouris, G., M. Lee, K. Dicke, (1991). An approach to short interval scheduling for discrete parts manufacturing. International Journal of Computer Integrated Manufacturing. 4 (3) (1991) 157–168.
Chryssolouris, G., J. Pierce, K. Dicke (1991). An approach for allocating manufacturing resources to production tasks. Journal of Manufacturing Systems. 10 (5) (1991)368–382.
Chryssolouris, G. (1999). A Planning and Control Method for Shipyard Processes: A Ship-repair Yard Case Study. 10th International Conference on Computer Applications in Shipbuilding. ICCAS 99.
Chryssolouris, G., Makris, S., Xanthakis, V., &Mourtzis, D. (2004). Towards the Internet-based supply chain management for the ship repair industry. Journal of Computer Integrated Manufacturing. International 17(1), 45-57.
Costa, R., Eduardo G.M. Jardim (1998). Total punctuality approach for the jobbing industry. International Journal of Operations & Production Management. Vol. 18 Iss: 3, pp.260 – 270
Costa, R., Hill, J., Jardim, E. (1992). Strategic management and shop-floor control in jobbing industry. The British Production and Inventory Control Society. Vol. 18, N.2, pp.35-38, UK
De Boer, R. (1998). Resource-Constrained Multi-Project Management - A Hierarchical Decision Support System. Ph. D. thesis, University Of Twente, The Netherlands
De Boer, R., J.M.J. Schutten, W.H.M. Zijm (1997). A Decision Support System for Ship Maintenance Capacity Planning. CIRP Annals - Manufacturing Technology. Vol. 46, Issue 1, pp. 391-396, ISSN 0007-8506
Dlugokecki, V., Fanguy, D., Hepinstall, L., Tilstorm, D. (2010). Transforming the Ship Building and Ship Repair Project Environment. Journal of Ship Production and Design. vol. 26, num. 4, pp 265-272
Feng, W. (1), Li Zheng, Jingshan Li (2012). The robustness of scheduling policies in multi-product manufacturing systems with sequence-dependent setup times and finite buffers. Robotics and Automation (ICRA), 2012 IEEE International Conference on, pp.5074-5079
Feng, W.(2), Li Zheng, Jingshan Li (2012). Scheduling policies in multi-product manufacturing systems with sequence-dependent setup times and finite buffers. International Journal of Production Research. 50:24, 7479-7492
Framinan, J., and R. Ruiz. (2010). Architecture of Manufacturing Scheduling Systems: Literature Review and an Integrated Proposal. European Journal of Operational Research. 205: 237–246
Framinan, J., and R. Ruiz (2012). Guidelines for the Deployment and Implementation of Manufacturing Scheduling Systems. International Journal of Production Research. 50 (7): 1799–1812
Leus, R, Artigues, C.; Nobibon, F.T. (2011). Robust optimization for resource-constrained project scheduling with uncertain activity durations. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). vol., no., pp.101,105, Dec. 6-9, 2011
MARAD,(2013), http://www.marad.dot.gov/documents/MARAD_Econ_Study_Final_Report_ 2013.pdf
Mello, M., J. O. Strandhagen (2011). Supply chain management in the shipbuilding industry: challenges and perspectives. Journal of Engineering for the Maritime Environment. 225:261-270, June 24, 2011
Moghaddam, K., John S. Usher (2011). Preventive maintenance and replacement scheduling for repairable and maintainable systems using dynamic programming. Computers & Industrial Engineering. Volume 60, Issue 4, May 2011, Pages 654-665, ISSN 0360-8352
Mourtzis, D. (2005). An integrated system for managing ship repair operations. International Journal of Computer Integrated Manufacturing. 18:8, 721-733
Papakostas, N., Papachatzakis, P., Xanthakis, V., Mourtzis, D., Chryssolouris, G. (2010). Decision Support Systems. “An approach to operational aircraft maintenance planning. International Journal of Computer Integrated Manufacturing Volume 48, Issue 4, March 2010, Pages 604-612, ISSN 0167-9236
Pinedo, M.L. (2012). Scheduling: Theory, Algorithms, and Systems. 4th ed. Springer; 2012-01-01
Pinha, D., Ahluwalia, R. S. (2013). Decision Support System for the Ship Repair Industry. SISE’s 2nd Annual World Conference, Las Vegas, NV, USA, November 2013
Pinha, D., De Queiroz, M.H., Cury, J. E R. (2011). Optimal scheduling of a repair shipyard based on Supervisory Control Theory. Proceedings of the IEEE Conference on Automation Science and Engineering (CASE) 2011, pp.39-44, August 24-27, 2011
Thorpe, A., Bartlett, P. (2013). Buoyant floating energy sector promises rich pickings. Special Offshore Supplement to Ship and offshore journal (SORJ). Volume 11 Issue 2, pp. 4. 2013
Van Dijk, R. (2002). http://alexandria.tue.nl/repository/books/587366.pdf
Wullink, G. (2005). Resource Loading Under Uncertainty”, Beta Research School for Operations Management and Logistics. PhD Thesis. The University of Twente, The Netherlands
Wullink, G., Hans, E., Gademann, A., van Harten, A. (2004). Scenario based approach for Flexible Resource Loading under Uncertainty. International Journal of Production Research. 42 (24), 5079-5098
Yamashita, D., Amaral Armentano Vinícius, and Manuel Laguna (2007). Robust Optimization Models for Project Scheduling with Resource Availability Cost. Journal of Scheduling. 10.1 2007
Zhou, S., Ying Feng Zheng, Zhang Jiang, Meng Qiang Duan (2013). Research of Scheduling Management in Warship Scheduled Repair Project. Applied Mechanics and Materials. 409-410, 1564. 2013
How to Cite
Decision Support System for Production Planning in the Ship Repair Industry. (2014). Industrial and Systems Engineering Review, 2(1), 52-61. https://doi.org/10.37266/ISER.2014v2i1.pp52-61
How to Cite
Decision Support System for Production Planning in the Ship Repair Industry. (2014). Industrial and Systems Engineering Review, 2(1), 52-61. https://doi.org/10.37266/ISER.2014v2i1.pp52-61
